| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline("sentiment", model="enio/Sentiment_BERT") | |
| def predict(text): | |
| return pipe(text)[0]["sentiment_text"] | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs='text', | |
| outputs='text', | |
| examples=[["This is Awesome!"]] | |
| ) | |
| iface.launch() |